{"id":"W6927627634","doi":"10.3205/20ebm110","title":"Evaluation der Qualität maschineller Übersetzungen von wissenschaftlichen (Abstracts) und laienverständlichen Zusammenfassungen (PLS) von Cochrane Reviews","year":2020,"lang":"de","type":"article","venue":"German Medical Science (German Research Foundation)","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cochrane","funders":"","keywords":"Cover (algebra)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2639833,0.004537051,0.01648826,0.02391339,0.002090416,0.01788382,0.003140353,0.005352943,0.01468493],"category_scores_gemma":[0.5417254,0.003936284,0.03930914,0.01410344,0.003424915,0.008786507,0.006125605,0.003918693,0.001651868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009334131,"about_ca_system_score_gemma":0.01378935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005178229,"about_ca_topic_score_gemma":0.009107318,"domain_scores_codex":[0.5714977,0.2463914,0.1426962,0.008508937,0.02932245,0.001583416],"domain_scores_gemma":[0.5432068,0.3741496,0.0470785,0.01295299,0.02143018,0.001182002],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"observational","study_design_scores_codex":[0.006008271,0.0000948385,0.002308168,0.7254261,0.1744182,0.00006637377,0.0008373444,0.0004824815,0.0004897001,0.001716729,0.002622615,0.08552919],"study_design_scores_gemma":[0.007579788,0.001561346,0.007348373,0.4901692,0.4630081,0.0003685402,0.0005867706,0.0008041686,0.002203669,0.004332789,0.02179215,0.0002450759],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.005684557,0.9629056,0.008634676,0.003226728,0.001627597,0.01177031,0.002586978,0.0001417722,0.003421791],"genre_scores_gemma":[0.2427248,0.5972697,0.07045341,0.006449099,0.002074042,0.07449995,0.003338628,0.0003415509,0.002848937],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7360166,"threshold_uncertainty_score":0.9076396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7216488501632558,"score_gpt":0.6302555270399351,"score_spread":0.0913933231233206,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}